Literature DB >> 12745424

A model of human muscle energy expenditure.

Brian R Umberger1, Karin G M Gerritsen, Philip E Martin.   

Abstract

A model of muscle energy expenditure was developed for predicting thermal, as well as mechanical energy liberation during simulated muscle contractions. The model was designed to yield energy (heat and work) rate predictions appropriate for human skeletal muscle contracting at normal body temperature. The basic form of the present model is similar to many previous models of muscle energy expenditure, but parameter values were based almost entirely on mammalian muscle data, with preference given to human data where possible. Nonlinear phenomena associated with submaximal activation were also incorporated. The muscle energy model was evaluated at varying levels of complexity, ranging from simulated contractions of isolated muscle, to simulations of whole body locomotion. In all cases, acceptable agreement was found between simulated and experimental energy liberation. The present model should be useful in future studies of the energetics of human movement using forward dynamic computer simulation.

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Year:  2003        PMID: 12745424     DOI: 10.1080/1025584031000091678

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  74 in total

1.  Evaluation of the minimum energy hypothesis and other potential optimality criteria for human running.

Authors:  Ross H Miller; Brian R Umberger; Joseph Hamill; Graham E Caldwell
Journal:  Proc Biol Sci       Date:  2011-11-09       Impact factor: 5.349

2.  Estimating maximum bite performance in Tyrannosaurus rex using multi-body dynamics.

Authors:  K T Bates; P L Falkingham
Journal:  Biol Lett       Date:  2012-02-29       Impact factor: 3.703

3.  Stance and swing phase costs in human walking.

Authors:  Brian R Umberger
Journal:  J R Soc Interface       Date:  2010-03-31       Impact factor: 4.118

4.  Toward Balance Recovery With Leg Prostheses Using Neuromuscular Model Control.

Authors:  Nitish Thatte; Hartmut Geyer
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-25       Impact factor: 4.538

5.  Stride lengths, speed and energy costs in walking of Australopithecus afarensis: using evolutionary robotics to predict locomotion of early human ancestors.

Authors:  William I Sellers; Gemma M Cain; Weijie Wang; Robin H Crompton
Journal:  J R Soc Interface       Date:  2005-12-22       Impact factor: 4.118

6.  Estimating dinosaur maximum running speeds using evolutionary robotics.

Authors:  William Irvin Sellers; Phillip Lars Manning
Journal:  Proc Biol Sci       Date:  2007-11-07       Impact factor: 5.349

7.  Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement.

Authors:  Jennifer L Hicks; Thomas K Uchida; Ajay Seth; Apoorva Rajagopal; Scott L Delp
Journal:  J Biomech Eng       Date:  2015-01-26       Impact factor: 2.097

8.  Muscle-tendon mechanics explain unexpected effects of exoskeleton assistance on metabolic rate during walking.

Authors:  Rachel W Jackson; Christopher L Dembia; Scott L Delp; Steven H Collins
Journal:  J Exp Biol       Date:  2017-03-24       Impact factor: 3.312

9.  The effects of Achilles tendon compliance on triceps surae mechanics and energetics in walking.

Authors:  Maria Isabel V Orselli; Jason R Franz; Darryl G Thelen
Journal:  J Biomech       Date:  2017-06-29       Impact factor: 2.712

10.  Forward dynamics simulations provide insight into muscle mechanical work during human locomotion.

Authors:  Richard R Neptune; Craig P McGowan; Steven A Kautz
Journal:  Exerc Sport Sci Rev       Date:  2009-10       Impact factor: 6.230

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